import torch

# Device
Device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

# 设置数据文件路径
DataPath = "data/load.csv"

# 设置模型保存路径
ModelPath = "model_lstm_TIMESTAMP.pth"

# 模型超参数设置
epochs = 100
learning_rate = 0.001
batch_size = 512
input_size = 1
hidden_size = 10
num_layers = 2
output_size = 1

# 学习率衰减策略启动条件
Val_Acc_Start = 0.7
